Data Engineer II

CareSource•Dayton, OH

1d•$72,200 - $115,500

About The Position

The Data Engineer II is responsible for contributing to team and department solution design architecture, and the development and implementation of appropriate standards and strategies for all sources of data. Essential Functions: Key contributor for data stewardship workgroups and teams in data management and governance activities Be a champion or ambassador of metadata and data quality practices across the organization – leading lunch ‘n’ learn sessions, knowledge sharing sessions, etc. Gain an understanding of the stakeholder’s business culture and priorities, and the need for different modeling techniques when eliciting definitions and data quality requirements Accountable and responsible for the engineering success of specific data governance engineering programs (e.g. Metadata and Cataloging Program, Data Quality Program) Perform analysis and research to support and/or develop glossary definitions, policies, programs, standards, guidelines and workflows Lead the development and maintenance of metadata catalogs Identify and quantify data related pain points within the organization and assist in the development of remediation plans Collaborate with SMEs to develop business rules that measure and assure data quality; facilitating discussions with end users and data modelers Lead efforts to quantify and qualify reported data quality issues; develop and report program metrics to demonstrate progress and compliance Sets day-to-day objectives and delivers job responsibilities that may vary outside typical norms or practices. Work consists of tasks that are occasionally not routine and often works independently and is required to apply discretion within established operational boundaries and procedures. Problems and issues faced are occasionally vague, and may need some analysis to understand. Makes adjustments to work methods to solve problems that may not be immediately evident in existing work processes and systems. However, may have references or help from norms and/or standard procedures to solve these problems. Perform any other job duties as requested

Requirements

Bachelor’s degree in Computer Science or related field or equivalent years of relevant work experience is required
A minimum of three (3) years of experience designing and developing ETL and/or BI solutions is required
Demonstrable experience in all stages of definition, design, implementation, testing and deployment of complex database, ETL, BI and Analytical solutions is required
Proven ability to write complex SQL queries
Proven ability developing medium to complex data quality profiling or metadata analysis processes with an industry leading tool
Ability to manage multiple medium to large scale projects while demonstrating a sense of urgency
Solid understanding of data management and governance concepts, especially data quality and metadata management
Proven understanding of relational database theory
Ability to establish effective working relationships with stakeholders at all different levels
Effective problem-solving skills with attention to detail
Strong interpersonal skills including excellent written and verbal communication skills; listening and critical thinking
Ability to effectively prioritize and execute tasks while working both independently and in a team-oriented, collaborative environment
Customer Service oriented

Nice To Haves

Healthcare payer experience is preferred

Responsibilities

Key contributor for data stewardship workgroups and teams in data management and governance activities
Be a champion or ambassador of metadata and data quality practices across the organization – leading lunch ‘n’ learn sessions, knowledge sharing sessions, etc.
Gain an understanding of the stakeholder’s business culture and priorities, and the need for different modeling techniques when eliciting definitions and data quality requirements
Accountable and responsible for the engineering success of specific data governance engineering programs (e.g. Metadata and Cataloging Program, Data Quality Program)
Perform analysis and research to support and/or develop glossary definitions, policies, programs, standards, guidelines and workflows
Lead the development and maintenance of metadata catalogs
Identify and quantify data related pain points within the organization and assist in the development of remediation plans
Collaborate with SMEs to develop business rules that measure and assure data quality; facilitating discussions with end users and data modelers
Lead efforts to quantify and qualify reported data quality issues; develop and report program metrics to demonstrate progress and compliance
Sets day-to-day objectives and delivers job responsibilities that may vary outside typical norms or practices.
Work consists of tasks that are occasionally not routine and often works independently and is required to apply discretion within established operational boundaries and procedures.
Problems and issues faced are occasionally vague, and may need some analysis to understand.
Makes adjustments to work methods to solve problems that may not be immediately evident in existing work processes and systems.
However, may have references or help from norms and/or standard procedures to solve these problems.
Perform any other job duties as requested